dot-ai-tag-release

dot-ai-tag-release is a skill for Claude Code from vfarcic/dot-ai. It costs 32 tokens per session (1,020 once invoked), scanned A, original, MIT.

A release tool that creates a version tag from accumulated changelog fragments. A release tag is a Git marker identifying the code version being released.

In plain words
What is it for?
Use it after changes have been merged and you are ready to prepare and push a new release tag.
Why use it?
It helps determine the next semantic version and cleans up merged worktrees and branches as part of the release process.

Skill for Claude Code

Written for Claude Code: user-invocable in frontmatter. Also seen: reads .claude/ paths.

Good fit Use it after changes have been merged and you are ready to prepare and push a new release tag.

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Install with agentmods
npx agentmods add skills/vfarcic/dot-ai/dot-ai-tag-release
Install

Getting it into your agent

One page per mod, every tool's command on it. A separate URL per tool would split the same page into five that compete with each other.

Any agent
npx skills add vfarcic/dot-ai --skill dot-ai-tag-release
Clone the repo
git clone --depth 1 https://github.com/vfarcic/dot-ai

Made for: Claude Code.

Wrote this? Show the measurements

A badge with what this costs and how it scanned, read live from this page, so it follows the numbers instead of freezing them. Markdown for a README, HTML for a documentation site or a project page.

agentmods badge for dot-ai-tag-release

README.md
[![agentmods](https://agentmods.dev/badge/skills/vfarcic/dot-ai/dot-ai-tag-release/github.svg)](https://agentmods.dev/skills/vfarcic/dot-ai/dot-ai-tag-release)
Your own site
<a href="https://agentmods.dev/skills/vfarcic/dot-ai/dot-ai-tag-release"><img src="https://agentmods.dev/badge/skills/vfarcic/dot-ai/dot-ai-tag-release/github.svg" alt="Measured on agentmods" height="20"></a>

Or the 80×15 button, for a site that already has a row of RSS and ATOM ones. Only the verdict fits; the numbers stay here.

agentmods 80×15 button for dot-ai-tag-release

Your own site · 80×15
<a href="https://agentmods.dev/skills/vfarcic/dot-ai/dot-ai-tag-release"><img src="https://agentmods.dev/badge/skills/vfarcic/dot-ai/dot-ai-tag-release.svg" alt="Reviewed on agentmods" width="80" height="20"></a>
Per session 32 Skills are progressive disclosure: only the name and description are preloaded; the body loads when the skill is used.
When invoked 1,020 The whole file, excluding the scripts and references it only reads on demand.
Security scan A 0 findings. A grade says what 26 rules found in the file — not that it is safe. Third-party audits
  • NVIDIA SkillSpector warn 7 Sept 2026
SkillSpector: 1 finding, up to high

These are SkillSpector’s own severities. On a checked sample its high-severity flags on skills were ~96% false positives — a documented command, a public API, a “never do X” rule — so we show them as a caution to read, not a verdict. Why →

  • high Tool Misuse · line 44
    Tool parameters are crafted to achieve unintended or unsafe behavior. Parameter abuse can bypass intended safety checks (e.g. shell=True, --force, dangerous glob patterns).
    Fix: Validate all tool parameters against an allowlist. Reject dangerous parameter values (shell=True, --force, -rf /) and use safe defaults.
How audits are shown
Origin original No closer match found in the catalogue.
Token cost

What it costs to keep this loaded

Counted locally with the o200k_base tokenizer, which is exact for GPT models; Claude uses its own tokenizer and its counts differ. Treat this as one consistent yardstick across the catalogue rather than a bill. Prices are per million input tokens.

ModelPer sessionOnce invoked
Fable 5.1 $0.00032 $0.01020
Opus 5 $0.00016 $0.00510
Sonnet 5 $0.00006 $0.00204
Haiku 4.5 $0.00003 $0.00102

Measured 11d ago against content hash 43b3a377f443, method: parsed. Prices are Anthropic first-party input rates as of 2026-09-10, from the pricing page.

Security

Grade A, and why

dot-ai-tag-release scanned grade A with 0 findings against 26 rules in 11 categories — prompt injection, anti-refusal, data exfiltration, privilege escalation, supply chain, agent snooping, system-prompt leakage, SSRF and excessive agency — measured 11d ago.

The scan reads SKILL.md. This mod also ships 2 executable files (analyze.sh, cleanup.sh), listed below but not scanned — reading those needs a real analyzer, not pattern matching.

A static scan of the body, not an audit. Every finding is printed with the line that produced it so you can judge whether it matters here. A mod is markdown that instructs an agent; that is exactly why what it instructs is worth reading.

Nothing flagged

None of the 26 patterns this scan looks for appear in this file: no shell pipes, no recursive deletes, no credential paths, no hidden text, no instruction-override or anti-refusal phrasing, no agent-config snooping. That is not a guarantee, it is the absence of the things that are checkable.

.claude/skills/dot-ai-tag-release/SKILL.md · 117 lines

How it starts

The opening of the file, as written. The whole thing — 117 lines — stays where its author put it; the contents beside it link to each section on GitHub.

Create Release Tag

Create a semantic version tag based on accumulated changelog fragments.

When to Use

Run this skill when:

  • Multiple PRs have been merged with changelog fragments
  • You're ready to cut a release
  • After the /prd-done workflow completes (not during it)

Workflow

Step 1: Analyze

Run the analysis script bundled with this skill:

bash .claude/skills/dot-ai-tag-release/analyze.sh

If the script fails (non-zero exit) or the output contains ERROR=true, show the MESSAGE to the user and stop.

If the output contains NO_FRAGMENTS=true, inform the user there's nothing to release and stop.

Step 2: Propose Version

Present the script output to the user:

  1. Current version (CURRENT_VERSION)
  2. Fragments found (the FRAGMENTS list with their types)
  3. Proposed next version (PROPOSED_VERSION) based on bump type (BUMP_TYPE)
  4. Ask for confirmation or allow override

Step 3: Handle [skip ci]

If SKIP_CI=true, inform the user that tagging HEAD would prevent the release workflow from running. Create a preparation commit:

git commit --allow-empty -m "chore: prepare release [version]"
git push origin HEAD

Step 4: Create and Push Tag

After confirmation:

git tag -a [version] -m "[Brief description summarizing the fragments]"
git push origin [version]

Step 5: Confirm Success

Show the user:

  1. The tag created
  2. The tag URL on GitHub (if applicable)
  3. Note that CI/CD will generate release notes from the fragments

Step 6: Clean Up Merged Worktrees and Branches

Once the release is tagged, the branches and worktrees whose work it contains are done. Run the read-only detection script bundled with this skill:

bash .claude/skills/dot-ai-tag-release/cleanup.sh

Interpret the output:

  • If NOTHING_TO_CLEAN=true, tell the user there is nothing to clean and finish.
  • Otherwise present the WORKTREES, LOCAL_BRANCHES, and REMOTE_BRANCHES lists and ask the user to confirm before deleting anything.

Read the full file on GitHub · 117 lines

Files

What ships with it

2 files beside SKILL.md in the same directory: the scripts, references and assets a skill reads on demand. Not counted in the per-session cost; read them before you install if any of them is executable.

Changes

What this file has done since we first saw it

Hashed on every crawl. A supply-chain change to an agent config is a question of when, not whether, so the history is kept rather than the latest state alone.

  1. 11d ago First seen · 117 lines · 32 tokens per session scan A 43b3a377f443

Subscribe to this mod's changes

dot-ai-tag-release is a skill published in the GitHub repository vfarcic/dot-ai (336 stars, last pushed 3d ago), licensed MIT. It adds 32 tokens to every session and 1,020 once invoked, about $0.0002 per session on Opus 5. A static security scan graded it A with 0 findings. No closer match exists in the catalogue, so it is treated as the original; first seen 2026-08-30.